WebFor Sala-i-Martin's version of extreme bounds analysis, the package ExtremeBounds estimates results for both the normal model (in which regression coefficients are … WebExtreme bound analysis (EBA), an imperfect but useful remedy for model uncertainty, suggests that comparatively few factors are robust. Given the cross-section of expected stock returns from July 1963 through December 2000, three of 23 variables - market size as well as short and medium run lagged return - pass the traditional EBA decision rule ...
EBA: Stata module to perform extreme bound analysis
WebFeb 10, 2014 · Abstract. This article introduces the R package ExtremeBounds to perform extreme bounds analysis (EBA), a sensitivity test that examines how robustly the dependent variable of a regression model is related to a variety of possible determinants. ExtremeBounds supports Leamer's EBA that focuses on the upper and lower extreme … Webhist.eba: Histograms for Extreme Bounds Analysis Description hist.eba is used to generate a set of histograms that present the results of extreme bounds analysis graphically. Each histogram illustrates the distribution of regression coefficients across the models estimated in the course of EBA. proposal shredding
Identifying the robust economic, geographical and political
Web2. Extreme bounds analysis (EBA) In this section, I present a brief description of extreme bounds analysis. My discussion is by no means intended to be exhaustive. Instead, I … WebExtreme Bounds Analysis (EBA) Description An implementation of Extreme Bounds Analysis (EBA), a global sensitivity analysis that examines the robustness of determinants in regression models. The package supports both Leamer's and Sala-i-Martin's versions of EBA, and allows users to customize all aspects of the analysis. Copy Link Version Install Webcoefficients.eba: Extreme Bounds Analysis: eba: Extreme Bounds Analysis: ExtremeBounds: ExtremeBounds: Extreme Bounds Analysis in R: hist.eba: … proposal should include